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DOI10.1016/j.atmosres.2019.05.025
Combining disdrometer, microscopic photography, and cloud radar to study distributions of hydrometeor types, size and fall velocity
Jia, Xingcan1,2; Liu, Yangang2; Ding, Deping3; Ma, Xincheng3; Chen, Yichen3; Bi, Kai3; Tian, Ping3; Lu, Chunsong4; Quan, Jiannong1
2019-11-01
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2019
卷号228页码:176-185
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

Addressing solid precipitation poses additional challenges compared to warm rain due to complex hydrometeor shapes involved, including the dependence of fall velocity on hydrometeor sizes, hydrometeor size distributions, and hydrometeor classification. This study is an extension of our previous work (Niu et al. 2010) to address these challenges by combining measurements from a PARSIVEL disdrometer, microscope photography, and millimeter wavelength cloud radar. The combined measurements are analyzed to classify the precipitation hydrometeor types, examine the dependence of fall velocity on hydrometeor sizes for different hydrometeor types, and determine the best distributions to describe the hydrometeor size distributions of different hydrometeor types. The results show: (1) Hydrometeors can be classified to four main types of raindrop, graupel, snowflake and mixedphase according to the dependence of terminal velocity on sizes, corresponding microscope photos and cloud radar observations; (2) There are significant scatters in fall velocity for a given hydrometer size velocities, and the fall velocity spread for the solid hydrometeors appear wider than that for raindrops across hydrometeor sizes, with that for the mixed-phase precipitation being largest, suggesting that the effects of hydrometeor shape on hydrometeor fall velocities; (3) Hydrometeor size distributions for the four types can all be well described by the Gamma or Weibull distribution; Weibull (Gamma) distribution performs better when skewness is less (larger) than 2.


英文关键词Hydrometeor fall velocity Hydrometeor size distribution PARSIVEL disdrometer Microscope photography Cloud radar
领域地球科学
收录类别SCI-E
WOS记录号WOS:000477686700015
WOS关键词OPTICAL DISDROMETER ; RAINDROP SPECTRA ; ICE CRYSTALS ; SNOWFALL ; SPEED ; CLASSIFICATION ; REFLECTIVITY ; SNOWFLAKE ; KURTOSIS ; WATER
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/187873
专题地球科学
作者单位1.Chinese Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China;
2.Brookhaven Natl Lab, Upton, NY 11973 USA;
3.Beijing Weather Modificat Off, Beijing 100089, Peoples R China;
4.Nanjing Univ Informat Sci & Technol, Nanjing 210044, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Jia, Xingcan,Liu, Yangang,Ding, Deping,et al. Combining disdrometer, microscopic photography, and cloud radar to study distributions of hydrometeor types, size and fall velocity[J]. ATMOSPHERIC RESEARCH,2019,228:176-185.
APA Jia, Xingcan.,Liu, Yangang.,Ding, Deping.,Ma, Xincheng.,Chen, Yichen.,...&Quan, Jiannong.(2019).Combining disdrometer, microscopic photography, and cloud radar to study distributions of hydrometeor types, size and fall velocity.ATMOSPHERIC RESEARCH,228,176-185.
MLA Jia, Xingcan,et al."Combining disdrometer, microscopic photography, and cloud radar to study distributions of hydrometeor types, size and fall velocity".ATMOSPHERIC RESEARCH 228(2019):176-185.
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